Key Analysis: Principal Component Analysis

This video introduces Principal Component Analysis, or PCA, a powerful tool used for exploratory analyses with large datasets.

LENGTH 6 Minutes

Principal Component Analysis is a powerful tool for data exploration and dimension reduction. If you have a dataset that you’re attempting to analyze, this video will help you decide if PCA is an appropriate tool.

LENGTH 6 Minutes

For many scientists, PCA is a black box technique. In this lesson, we delve into the primary method underneath PCA, which is the Singular Value Decomposition.

LENGTH 5 Minutes

This lesson walks you through the choices that you’ll need to make to fit a PCA model in Prism.

There are a lot of output options for PCA, and in this lesson, we walk you through how to interpret the output. This includes tables of outputted information as well as useful graphics.

LENGTH 5 Minutes

If your data has too many columns and not enough rows to fit linear regression, PCR may be a good solution. It first fits PCA and then fits PCR on the principal components. Watch this video to learn more.

LENGTH 6 Minutes